Fentaw Abegaz
Fentaw Abegaz
Postdoc Researcher, University of Groningen
Dirección de correo verificada de rug.nl
Citado por
Citado por
Sparse time series chain graphical models for reconstructing genetic networks
F Abegaz, E Wit
Biostatistics 14 (3), 586-599, 2013
Semiparametric estimation of conditional copulas
F Abegaz, I Gijbels, N Veraverbeke
Journal of Multivariate Analysis 110, 43-73, 2012
Modeling statistical dependence of Markov chains via copula models
F Abegaz, UV Naik-Nimbalkar
Journal of statistical planning and inference 138 (4), 1131-1146, 2008
Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models
A Mohammadi, F Abegaz, E van den Heuvel, EC Wit
Journal of the Royal Statistical Society: Series C (Applied Statistics) 66 …, 2017
Dynamic copula-based Markov time series
F Abegaz, UV Naik-Nimbalkar
Communications in Statistics—Theory and Methods 37 (15), 2447-2460, 2008
Copula Gaussian graphical models with penalized ascent Monte Carlo EM algorithm
F Abegaz, E Wit
Statistica Neerlandica 69 (4), 419-441, 2015
Principals about principal components in statistical genetics
F Abegaz, K Chaichoompu, E Génin, DW Fardo, IR König, ...
Briefings in bioinformatics 20 (6), 2200-2216, 2019
An approximate marginal logistic distribution for the analysis of longitudinal ordinal data
N Nooraee, F Abegaz, J Ormel, E Wit, ER van den Heuvel
Biometrics 72 (1), 253-261, 2016
Bayesian Gaussian copula graphical modeling for Dupuytren disease
A Mohammadi, F Abegaz, E Heuvel, EC Wit
arXiv preprint arXiv:1501.04849, 2015
A different view on fine-scale population structure in Western African populations
K Chaichoompu, F Abegaz, B Cavadas, V Fernandes, B Mueller-Myhsok, ...
Human genetics 139 (1), 45-59, 2020
KRIS: keen and reliable interface subroutines for bioinformatic analysis
K Chaichoompu, F Abegaz, S Tongsima, PJ Shaw, A Sakuntabhai, ...
R package version 1 (1), 2018
SparseTSCGM: Sparse time series chain graphical models (R package version 2.2)
F Abegaz, E Wit
IPCAPS: an R package for iterative pruning to capture population structure
K Chaichoompu, F Abegaz, S Tongsima, PJ Shaw, A Sakuntabhai, ...
Source code for biology and medicine 14 (1), 1-5, 2019
Penalized EM algorithm and copula skeptic graphical models for inferring networks for mixed variables
F Abegaz, E Wit
arXiv preprint arXiv:1401.5264, 2014
Efficient Bayesian inference for Copula Gaussian graphical models
A Mohammadi, F Abegaz, EC Wit
Proceedings of the 29th International Workshop on Statistical Modelling 1 …, 2014
Dynamic chain graph models for ordinal time series data
P Behrouzi, F Abegaz, EC Wit
arXiv preprint arXiv:1805.09840, 2018
Bayesian modeling of Dupuytren disease using copula Gaussian graphical models
A Mohammadi, F Abegaz, E van den Heuvel, EC Wit
arXiv preprint arXiv:1501.04849, 2015
Sparse relative risk regression models
EC Wit, L Augugliaro, H Pazira, J González, F Abegaz
Biostatistics 21 (2), e131-e147, 2020
Epistasis detection in genome-wide screening for complex human diseases in structured populations
F Abegaz, F Van Lishout, JM Mahachie John, K Chiachoompu, ...
Systems Medicine 2 (1), 19-27, 2019
An alternative parameterization of Bayesian logistic hierarchical models for mixed treatment comparisons
P Pechlivanoglou, F Abegaz, MJ Postma, E Wit
Pharmaceutical statistics 14 (4), 322-331, 2015
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Artículos 1–20